{"id":"W4304787398","doi":"10.31219/osf.io/ra36e","title":"KiriPhys: Exploring New Data Physicalization Opportunities","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Curiosity; Computer science; Qualitative property; Data science; Human–computer interaction; Psychology; Social psychology; Machine learning","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.0002834549,0.0002590055,0.000253029,0.0004007714,0.0001899632,0.0002993881,0.004805645,0.0001183043,0.0005714004],"category_scores_gemma":[0.00007527055,0.0002803611,0.00004935935,0.0003664858,0.00005236225,0.001990088,0.01704908,0.0009516552,0.00005768919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001826279,"about_ca_system_score_gemma":0.0003495534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001673785,"about_ca_topic_score_gemma":0.0000127327,"domain_scores_codex":[0.997923,0.00009252428,0.0003572811,0.0009880442,0.0003995728,0.0002395809],"domain_scores_gemma":[0.9960811,0.00005854676,0.0003092635,0.003366984,0.0001402919,0.00004377453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002623767,0.00006314184,0.00002287852,0.00003510929,0.00007092829,0.00002081485,0.00067607,0.0003552233,0.0001483808,0.8840092,0.06167404,0.05292159],"study_design_scores_gemma":[0.0003176408,0.0001218577,0.0002917592,0.000153971,0.00003961755,0.00001978091,0.001535019,0.223565,0.004988736,0.2000925,0.5676352,0.001238917],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002332381,0.00004445065,0.968084,0.006067767,0.003644533,0.0002671268,0.000023677,0.00137541,0.0181607],"genre_scores_gemma":[0.3938997,0.001098704,0.5225043,0.008928074,0.004219471,0.001501342,0.009925955,0.0003091907,0.05761323],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6839167,"threshold_uncertainty_score":0.9999648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6201563010348133,"score_gpt":0.3799009119224326,"score_spread":0.2402553891123807,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}